Improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using propagator method
Improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using propagator method
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DOI：
10.1016/j.sigpro.2012.06.010
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发表时间：
2012-12-01
影响因子：
4.4
通讯作者：
Chen, Han
中科院分区：
文献类型：
--
作者：
Li, Jianfeng;Zhang, Xiaofei;Chen, Han
本文研究了两个平行均匀阵列（ULA）的二维到达方向（DOA）估计问题。由于传播器方法不需要对接收到的数据进行任何特征值分解和奇异值分解，因此其计算量可以大大减少。提出了一种改进的双平行均匀线性阵列二维方位估计算法。与Wu算法相比，该算法具有更好的角度估计性能，且复杂度较低。此外，该算法还可以实现自动配对的二维角度估计。仿真结果验证了该算法的有效性。(C) 2012 Elsevier B.V.版权所有
In this paper, we study the problem of two-dimensional direction-of-arrival (DOA) estimation with two parallel uniform arrays (ULA). The computational loads of the propagator method (PM) can be significantly smaller since the PM does not require any eigen-value decomposition of the cross correlation matrix and singular value decomposition of the received data. We propose an improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using PM. Compared with Wu's algorithm, the proposed algorithm has better angle estimation performance, and lower complexity. Furthermore, the proposed algorithm can achieve automatically paired two-dimensional angle estimation. The simulation results verify the effectiveness of the proposed algorithm. (C) 2012 Elsevier B.V. All rights reserved.